DEVELOPMENT... OpenML
Run
50475

Run 50475

Task 1728 (Learning Curve) credit-approval Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.NBTree(2)Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9103 ± 0.0368
Per class
Build CPU time
0.2314
Build memory
623690470.9
F measure
0.8461 ± 0.0282
Per class
Kappa
0.688 ± 0.0567
KB relative information score
0.6591 ± 0.0583
Mean absolute error
0.1718 ± 0.0294
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8462 ± 0.0278
Per class
Predictive accuracy
0.8464 ± 0.0283
Prior entropy
0.9912 ± 0.0022
Recall
0.8464 ± 0.0283
Per class
Relative absolute error
0.3477 ± 0.0597
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.35 ± 0.0325
Root relative squared error
0.7042 ± 0.0655
SciMark benchmark
1362.2527